Social Big Data Mining
Auteur : Ishikawa Hiroshi
This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social data, data mining for making a hypothesis, multivariate analysis for verifying the hypothesis, web mining and media mining, natural language processing, social big data applications, and scalability. It explains analytical techniques such as modeling, data mining, and multivariate analysis for social big data. This book is different from other similar books in that presents the overall picture of social big data from fundamental concepts to applications while standing on academic bases.
Social Media. Big Data and Social Data. Hypotheses in the Era of Big Data. Social Big Data Applications. Basic Concepts in Data Mining. Association Rule Mining. Clustering. Classification. Prediction. Web Structure Mining. Web Content Mining. Web Access Log Mining, Information Extraction and Deep Web Mining. Media Mining. Scalability and Outlier Detection.
Hiroshi Ishikawa
Date de parution : 12-2020
15.6x23.4 cm
Date de parution : 03-2015
15.6x23.4 cm
Thèmes de Social Big Data Mining :
Mots-clés :
Social Big Data; Association Rule Mining; Frequent Itemsets; Classifi Ers; Web Structure Mining; Hash Tree; Classifi Er; Physical Real World; Data Mining; Big Data; Social Data; Big Data Sources; Big Data Applications; Correlation Coeffi Cient; Data Set; Web Content Mining; Infl Uence Relationships; XML Data; Multiple Indicator Model; XML Documents; Apriori Algorithm; Association Rules; Big Data Era; Cf Tree; Factor Analysis Model